Forest Ecosystem Monitoring Cooperative

Drivers and consequences of alternative landscape futures on wildlife distributions in New England, United States: Gray fox

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Metadata Provider

  • Forest Ecosystem Monitoring Cooperative

    • Address:
      705 Spear Street
      South Burlington, Vermont 05403
      United States of America

      Phone: (802) 391-4135
      Email: femc@uvm.edu
      Website: www.uvm.edu/femc

Abstract

    Scenario studies can offer the structure and perspective needed to understand the impacts of change and help inform management and conservation decisions. We implemented a scenario-based approach to assess how two high impact drivers of landscape change influence the distributions of managed wildlife species (n = 10) in the New England region of the northeastern United States. We used expert derived species distribution models (SDM) and scenarios developed by the New England Landscape Futures Project (NELFP) to estimate species future distributions under various trajectories (n = 5) of landscape change. The NELFP scenarios were built around two primary drivers – Socio-Economic Connectedness (SEC) and Natural Resource Planning and Innovation (NRPI) – and provide plausible alternatives for how the New England region may change over fifty years (2010 to 2060). Our scenario-based distribution projections generally resulted in species occurrence and richness declines by 2060. Details of the project can be found in the following publication: Pearman-Gillman SB, Duveneck MJ, Murdoch JD, Donovan TM. 2020. Drivers and Consequences of Alternative Landscape Futures on Wildlife Distributions in New England, United States. Front Ecol Evol. 8: 164. doi:10.3389/fevo.2020.00164

People

  • Terri Donovan: Content Provider

  • James Murdoch: Content Provider

  • Schuyler Pearman-Gillman: Principal Investigator

  • Matthew Duveneck: Content Provider

Organizations

  • United States Department of Agriculture (USDA) National Institute of Food and Agriculture: funder
  • University of Vermont Rubenstein School of Environment and Natural Resources: lead
  • Vermont Cooperative Fish and Wildlife Research Unit : partner
  • Harvard University Harvard Forest: partner

Geographic Coverage

  • Coordinates

    Data Table

    • Title: Gray fox
    • Start Date: 2016-05-01
    • Description: Scenario-simulated raster maps of gray fox (Urocyon cinereoargenteus) distribution throughout New England. Rasters provide distribution estimates for the year 2060 projected by each of the NELFP scenarios: Business-As-Usual, Connected Communities, Yankee Cosmopolitan, Go It Alone, and Growing Global. The pixel values in each raster represent probability of occurrence estimates for the target species. Occurrence probabilities were derived from species distribution models developed through expert elicitation and mixed modeling methods and climate and landcover conditions simulated for the year 2060. For further details on the development of the distribution maps, please see: Pearman-Gillman SB, Duveneck MJ, Murdoch JD and Donovan TM (2020). Drivers and Consequences of Alternative Landscape Futures on Wildlife Distributions in New England, United States. Front. Ecol. Evol. 8:164. doi: 10.3389/fevo.2020.00164.

    • Purpose:

    • Condensed Title: 20200424115931_Gray fox - NELFP 2060.zip

    • Object Name: VMC.1631.3264

    • Data Type: mySQL
    • Citation: Pearman-Gillman SB, Duveneck MJ, Murdoch JD and Donovan TM (2020). Drivers and Consequences of Alternative Landscape Futures on Wildlife Distributions in New England, United States. Front. Ecol. Evol. 8:164. doi: 10.3389/fevo.2020.00164.

    • Online Distribution: https://www.uvm.edu/femc/data/archive/project/wildlife_future_scenarios/dataset/gray-fox-1

    Attribute List

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